تقرير
A slime mold inspired local adaptive mechanism for flow networks
| العنوان: | A slime mold inspired local adaptive mechanism for flow networks |
|---|---|
| المؤلفون: | Anisetti, Vidyesh Rao, Kandala, Ananth, Schwarz, J. M. |
| سنة النشر: | 2023 |
| المجموعة: | Condensed Matter Physics (Other) |
| مصطلحات موضوعية: | Condensed Matter - Soft Condensed Matter, Condensed Matter - Disordered Systems and Neural Networks, Physics - Biological Physics |
| الوصف: | In the realm of biological flow networks, the ability to dynamically adjust to varying demands is paramount. Drawing inspiration from the remarkable adaptability of Physarum polycephalum, we present a novel physical mechanism tailored to optimize flow networks. Central to our approach is the principle that each network component -- specifically, the tubes -- harnesses locally available information to collectively minimize a global cost function. Our findings underscore the scalability of this mechanism, making it feasible for larger, more complex networks. We construct a comprehensive phase diagram, pinpointing the specific network parameters under which successful adaptation, or tuning, is realized. There exists a phase boundary in the phase diagram, revealing a distinct satisfiability-unsatisfiability (SAT-UNSAT) phase transition delineating successful and unsuccessful adaptation. Comment: 5 pages, 4 figures |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2309.16988 |
| رقم الأكسشن: | edsarx.2309.16988 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |